Carl Seelye is a principal architect with two decades of experience designing and delivering complex storage and distributed systems, now leading architecture for NVIDIA’s autonomous vehicle simulation platform. He specializes in transitioning monolithic appliances into Kubernetes-native, containerized control planes and has driven platform and DevOps transformations at NetApp SolidFire for large-scale, multi-team organizations. Comfortable from low-level C++ system design to Go/Python control plane services, he blends hands-on coding, architectural leadership, and customer-facing requirements work. Known for pragmatic adoption of open-source tooling and continuous deployment, he excels in unstructured environments that demand rapid learning and cross-functional collaboration. Based in Greater Indianapolis, he brings rare depth across testing, quality, and production-grade platform engineering that helps teams ship resilient, scalable storage and simulation infrastructure.
14 years of coding experience
22 years of employment as a software developer
BS, Electrical Engineering, BS, Electrical Engineering at Colorado State University
REST server for remote control of fit-statUSB device
Contributions:5 PRs, 9 pushes, 3 branches in 3 years 8 months
rest-serverremote-controlfitfit-statusbrest
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Carl Seelye - Principle Architect, Autonomous Vehicle Simulation Platform